This article provides brief information about the field and the results of laboratory studies to determine the physical and chemical parameters of different samples of oil from the West Kazakhstan field.

Recently, proton-conducting oxides have been intensively studied in connection with the possibility of their use in various electrochemical devices (fuel cells, separators and hydrogen sensors, etc.). In particular, LaNbO₄ lanthanum orthoniobate is a perovskite ABO₃ c structure and has a mixed ion-electron conductivity, which has a proton conductivity of the order of 10-³ Om-¹ cm-¹ at temperatures above 700°C and high stability in a humid and enriched CO₂ environment. These materials are promising for the creation of membranes for the separation of oxygen and medium temperature solid oxide fuel cells. But studies have shown that lanthanum orthoniobates have insufficient electronic conductivity. One approach to solving this problem is to create nanocomposite materials based on them using metals and their alloys. Optimization of the composition, microstructure and texture of such materials will improve the characteristics of fuel cells and membranes. In this work, nanoparticles of metals and their alloys NiCuO_x, CoCuO_x, NiCoAgO_x in the presence of isopropyl alcohol in a supercritical medium were first synthesized. The morphology and particle size of the alloys was studied using electron microscopy JSM-6460 LV (JEOL, Japan), and the phase composition was studied on a BrukerAdvance D8 diffractometer using CuKα. The results of the study showed that using supercritical alcohols allows one to obtain metals and alloys in one stage. According to TEM, the obtained powders after calcination are almost spherical nanoparticles with an average size of 25-45 nm. The obtained bimetallic powders are promising materials for the preparation of composites and deposition on a porous substrate to create proton-conducting membranes.

At present, Kazakhstan occupies a leading position in oil and gas production; the Government of the Republic of Kazakhstan is taking measures to saturate the domestic market with oil products and the development of petrochemicals and chemistry. At the same time, covering the deficit of water-soluble polyelectrolytes used in drilling oil, gas and solid minerals is of great importance. This deficit is covered by imported water-soluble polymers purchased for foreign currency from other countries. But these watersoluble polymers do not satisfy the needs of various industries in terms of affordability and effectiveness. In this regard, there is a need to study the development of a method for producing new polyelectrolytes taking into account the influence of their composition on the conformational characteristics of the stabilizing actions of industrial drilling fluids. From a practical point of view, one of the promising areas is the development of technology for producing water-soluble polyelectrolytes in the oil and gas industry.

This article presents the calculation results of the weight loss kinetics of waste tire and heavy oil residue samples, which were calculated by the results of their thermogravimetric analysis (TGA). These wastes are not biodegradable and represent, on the one hand, a great potential danger to the environment, and on the other hand, huge reserves of secondary raw materials for processing into alternative fuels and organic materials. Joint thermal catalytic processing of used tires with a heavy oil residue into motor fuels and valuable organic compounds is very promising. The heavy oil residue in the processing of carbon-containing waste is used as a hydrogen donor, raw material and a paste-forming agent of feedstock. Based on the TGA results of a tire sample, it was determined that a sharp mass loss of the rubber mass begins at a temperature of 340ºC. According to the TGA results of the testing samples, it was determined that a sharp loss of the rubber mass begins at a temperature of 340ºC, while this was observed at a temperature of 265ºC in the mass of heavy oil residue. This early thermal degradation of the heavy oil residue compared to the waste tire sample makes it possible to use it as a paste-forming agent in the processing of carbon-containing wastes. According to the results of calculating the activation energy of the testing samples by using an integral method of Coats- Redfern, it was determined that in the temperature range 400-500ºC, C-C bonds are broken in the waste tire sample, whereas С-С and С-Н bonds are broken in the heavy oil residue sample. These results prove the possibility of using a heavy oil residue as a hydrogen donor for processing carbon-containing waste.

Currently, due to the growing anthropogenic load, the ability of the soil to supply various nutrients, air, water, heat, biological and physical-chemical environments, as well as the ability to produce sustainable high-quality products, is being lost. In this regard, the article presents the results of agrochemical and chemical analysis of serozem soils of the Turkestan region and assesses their quality. The monitoring results showed that the humus content in the serozem soils of Turkestan region is very low, even less than 1%. According to agrochemical indicators, soils rich in the element of potassium, and very little nitrogen. In comparison with other rural districts in the soil of the city of Turkestan, it was found that the content of the phosphorus element is very little (2 mg/kg). Due to the fact that phosphorus is present in the soil as part of organic and inorganic compounds, phosphorus deficiency is observed during soil degradation.

The article is devoted to the actual problem of corrosion of oilfield equipment and its control. The authors of the article aimed to summarize the accumulated information and data on the problems and prospects of using various anticorrosive methods and tools. This paper presents the results of corrosion studies of reservoir water of the Chinarevskoye field.

The article deals with actual problems of waste recycling. In the process of development of modern society, improvement of production forces and production relations, the accumulation of production and consumption waste occurs in urbanized territories and adjacent territories. The purpose of the study is to study the problem of pollution with household waste in the Turkestan region and ways of their disposal. As a result of the analysis of materials on household waste, the main problems of their accumulation, placement and disposal were identified. There are no unified centers for controlling the distribution of household waste in the country. The number of unauthorized dumps and waste is steadily increasing. Insufficient sanitary and hygienic control within localities and in waste collection areas in garbage collection areas, etc. These issues determine the need for effective innovative methods of waste management.
The article identifies promising areas for the secondary use of household and industrial waste in various sectors of the national economy. In order to reduce the amount of waste, the need for an integrated approach to processing material resources is justified.

Currently, complex oxides with a perovskite structure are widely used in catalysis due to a unique set of physicochemical properties. In this regard, the most important scientific works on the methods of synthesis and study of the physicochemical properties of containing catalysts with a perovskite structure used in the Fischer-Tropsch synthesis are considered. Perovskite-like oxides include a large number of mixed oxides of the general formula ABO3, where metal cations that satisfy the electroneutrality condition (total charge +6) and certain steric ratios can act as cations A and B. Cations A usually have ionic radii close to oxygen and can be represented by rare earth (La, Pr, Sm, Ce), alkaline earth (Ca, Mg, Ba, Sr) or alkaline (Na, K) metals. The cations in position B should have a significantly smaller ionic radius, and most transition metals (Fe, Ni, Co, Cu, Ti, Cr, Ru, Mn, etc.) can play this role. Sol gel, citrate, and mechanochemical methods are widely used in the synthesis of perovskite catalysts. The activity and selectivity of perovskite catalysts depend on the synthesis method, the size of the surface area, and also on the nature of the support.

This article presents the results of a study of the kinetics of swelling of Ag-MMT / Ca-ALG bionanocomposite microparticles and the release of silver ions from them depending on pH and silver content. As a result of the study, it was found that silver ions are continuously released from Ag-MMT / Ca-ALG microparticles, the degree of release of silver ions from BNCs with increasing Ag-MMT content in them increases and these microparticles do not have a noticeable pH sensitivity.

In this paper, we consider the processes of oxidation-reduction of copper ions on various electrodes (glass-carbon; naphton; rice-naphthion) using cyclic voltammetry. The electrode modification of rice husk showed the best results in the electrochemical determination of copper ions. It is shown that the processes of oxidation and reduction of copper ions occur with an increase in the transfer rate. The modified electrode with rice husk gave the best results at a low concentration of copper ions 10-8M.

In this work, we obtained the products of copolymerization of allyl alcohol with acrylic acid nitrile, followed by hydrolysis. The insoluble copolymerization products are transferred to a soluble state in water, then hydrolyzed in the presence of sodium hydroxide, polymer-analogous transformations being carried out. To characterize the products of copolymerization and hydrolysis, some physicochemical properties of watersoluble polyelectrolytes have been studied.

In this paper, when modeling the reflection coefficient based on FDTD simulation, the optimal values for the thicknesses of the porous silicon and diamond-like carbon layers of a two-layer antireflection coating (PS/DLC) were determined. Encouraging results were obtained with the following layer parameters: n(DLC) = 2.4, d(DLC) = 50 nm; and n(PS) = 2.2, d(PS) = 100 nm. Reflection in the range of 530–560 nm was about 0.5%, and the reflection minimum is located in the region of about 535 nm. In general, in the visible range of 400-700 nm, the reflection does not exceed 2.5%. It has been clearly shown that it is possible to significantly reduce reflection (on 34.5%) in the visible range, thereby increasing the efficiency of solar cells.

The research investigated the effect of pH on the surface morphology and film growth. Using the method of layering (LBL) of oppositely charged polyelectrolytes, a coating was obtained on the surface of silicon and glass wafers. Chitosan was used as a polycation, and sodium carboxymethylcellulose plays the role of a polyanion. The choice of both polyelectrolytes is related to their compatibility and biodegradability. The adhesion of the substrate surface was evaluated by an atomic force microscope (AFM). As a result, glass wafers form thin, smooth films due to low adhesion. And also the roughness of different bilayers was investigated and the stages of film formation were shown. The method of ellipsometry was used to determine the dependence of the thickness on the pH of the system. Films collected at pH = 5 are characterized by a lower thickness growth rate compared to films obtained at pH = 3, 4, and 6, since this is due to the conformation of polyelectrolytes. Thus, by controlling the charge density of polyelectrolytes, you can create an antibacterial coating for implantable systems.

«Fe₂(SO₄)₃ – Zr(SO₄)₂ – Н₂О» system has been investigated by the method of isothermal solubility at 35°С. The system is characterized by chemical interaction of iron sulphate with zirconium sulphate in water solution by forming new compounds with structure Fe₂(SO₄)₃ • Zr(SO₄)₂ • 10Н₂О and Fe₂(SO₄)₃ • 3Zr(SO₄)₂ • 21Н₂О.

In this paper, using the “lumerical FTDT” software, simulations have been carried out to determine the optimal layer thicknesses in antireflection SiC/MgF₂ coatings deposited on polished silicon. The double layer structure SiC(60 nm) + MgF₂(110 nm) showed the lowest reflection (<0.5%) in the wavelength range from 500 to 800 nm. However, an analysis of the light absorption and short-circuit current density of a silicon solar cell shows that among the considered antireflection SiC/MgF₂ coatings, the most effective is the double layer structure SiC(50 nm) + MgF2(110 nm). This is due to the low reflection in the region of 317-485 nm and the increase of the solar cell current density up to 179.0 A/m².

The article presents the results of studies evaluating the strength of anchoring of flexible ties in the form of pins in thin outer layers of panels and checking the adequacy of their anchoring during shear: when the layers are mutually displaced. Experimental dependences “shear condition - compliance” are obtained for flexible bonds anchored in concrete layers and the ultimate force perceived by them is determined. The acceptability for thin reinforced concrete elements - layers of three-layer panels of standardized methods for calculating strength is checked. The effect of the joint work of layers on the load-bearing capacity due to flexible connections and insulation has been experimentally studied. The influence of shear span and transverse reinforcement on the bearing capacity of three-layer reinforced concrete structures with a middle layer of low-strength lightweight concrete monolithically bonded to the outer bearing layers is studied. Experimentally substantiated proposals for the calculation of bending reinforced concrete three-layer structures for strength have been developed.

«Calculation of stability of a plate by a method of division of variables». Calculation of a plate on stability is made at compression in a longitudinal direction. The method of separation of variables is applied. Comparison of results to available decisions is made.

Studying the features of the synthesis of fullerenes will make it possible to understand the process of formation of nanostructures of this class. Increasing the yield of fullerenes and purity will allow us to approach the creation of new materials of an economic class. This work is devoted to the experimental method for producing fullerenes by the arc discharge method. It was found that the purity and yield of fullerenes depend on the synthesis parameters, in particular the gas pressure, on the voltage, on the current strength, and also on the preparation of the electrodes. This paper shows the desorption of graphite electrodes without the use of auxiliary equipment. For the synthesis of fullerenes, a reactor assembled according to the Kretchmer principle was used, extraction was carried out with toluene solution. (Must be supplemented with at least 150 words should be)

This paper presents the results of a computational experiment for solving the initial initial-boundary dynamic poroelasticity problem. This solution is obtained by applying numerical inverse Laplace and Fourier transformations to the analytical solution of the corresponding system of ordinary differential equations with boundary conditions. To calculate the inverse Laplace transform, parallel calculations of function values using the Talbot method are used, as the most stable method.

In this paper, the feasibility of using various data preparation algorithms for better training of the model in the python3 programming language is considered. We describe how to interact with missing values in the data set and how to eliminate them, depending on various factors. Algorithms for converting nominal variables into a form suitable for teaching models of the Scikit-Learn library are considered. Also, a method of combining data conversion algorithms to achieve the highest predictive ability in F1 measure was applied using the example of a binary classification model.

We detected the sporadic acoustic pulses presumably connected with the processes of seismic activity in the region of a deep earth’s crust fracture near Almaty city. It was found a statistically significant time correlation between such pulses and the passage moments of high energy cosmic ray muons. This observation is in favor of a theoretic supposition about possible trigger effect of small ionization created by penetrative particles deep underground which may provoke releasing the energy of elastic deformation accumulated at the edges of a seismic fault. If confirmed, this effect could be of interest for the earthquake forecast problem.

Dams are one of the important installations for collecting and storing water, generating electricity, and protecting against floods and irrigation. This article presents the numerical results of three-dimensional modeling of a dam break. The proposed numerical model was verified by comparing numerical results with experimental measurements and numerical results of other authors. The numerical method is based on the Navier-Stokes equations describing the flow of an incompressible viscous fluid. The movement of the surface of the water is captured using the volume of fluid method (VOF), which leads to strict conservation of mass. The accuracy and reliability of the 3D model was tested using a small laboratory experiment on the destruction of the dam. The proposed model predicts well the impact pressure of the breakthrough flow. It was also determined in which part of the obstacle the maximum pressure occurs after the dam breaks. In threedimensional modeling of a dam break, various forms of obstacles were considered, with the help of which it will be possible to reduce the impact pressure. From the presented numerical results, the optimal form of the obstacle was determined, which can be used as an additional safety dam for the main dam.

In the work the influence of chitosan (CHT) and gelatinous (GEL) on the pH-sensitivity of calcium alginate microparticles (Ca-Alg MP) is investigated.
The possibility of regulation of swelling and methotrexate realizing rates of Ca-Alg MP`s by introducing of CHT and GEL in this microparticles also by changing of pH is shown. The established laws allow to predict a yield of drugs and create new polymeric stuffs with necessary speed of receipt antitumor materials in an organism.

In recent years, the problem of social network analysis has moved from the formal theory of sociological research to the modern strategy of social structure research. Social network analysis can be used to predict the behavior of social elements-network participants, determine the specifics of their interaction, and classify social network participants.
Due to the rapid development of information, as well as mobile technologies, modern people have the opportunity to virtual communication using various social networks. Getting information about the behavior of actors in such social networks opens up opportunities for quick and convenient analysis of social structures. Often, for a software developer, the task of introducing a ready-made software product to the market, as well as the prospects for its development, is complicated by a lack of understanding of the current market situation. The ability to identify a group of target users, consider their advantages and disadvantages in the context of competing products, as well as user opinions based on information obtained through the analysis of social units, is very valuable for software developers and distributors. Therefore, the use of social network analysis to identify groups of target users of the software product is relevant.
This paper presents a review of theoretical and applied research on the evolution and analysis of social networks. A brief description of some popular social networks is provided, as well as individual web services and software applications for their analysis. The problem of finding user groups for the implemented software product using social networks is considered. To solve this problem, we analyze the main methods and approaches to the study of social networks. The method involves checking the set obtained from clustering results. The resulting set is displayed on the set of users of the software product. The developed method makes it possible to identify users of the software product based on the analysis of social network content.

In accordance with the purpose of the study, the first task is to analyze the existing solutions in the field of data integration into a single information space.it is also necessary to note the features, advantages and disadvantages of the integration system architectures used. This will allow us to identify problems related to the structural and semantic heterogeneity of data in information systems, as well as formulate an approach to combining information systems. Currently, world leaders in software development are presenting their ready-made solutions for data integration. Their consideration will complement the study of theoretical approaches and will identify the areas that should be developed and used in the construction of integrated systems. To solve the problem of semantic heterogeneity of information in the integration of information systems, it is proposed to use ontologies of the subject area. The problem of integration of information systems data in this paper is considered as a problem of integration of information from heterogeneous information systems and resources (repositories) in order to ensure a unified representation of data. In order to correctly integrate heterogeneous information systems, it is necessary to find out the commonality and differences of the ontologies underlying them, as well as to agree on heterogeneous ontological specifications and further implement information transformation. As a result, heterogeneous information systems work together in the context of the subject area of the problem at a semantically significant level. Analysis of the state of research on the harmonization of ontologies shows that the existing methods are mostly informal and based on the subjective opinion of a human expert. So far, this has not been studied in sufficient depth, mainly for special cases.

Nowadays, it is promising to develop innovative methods for creating new drugs with desired properties in order to reduce time and financial costs. The search for effective drug compounds is a complex, multi-stage process, in which it is necessary to process a huge amount of chemical data. The application of modern artificial intelligence methods to predict the structure-property dependence of drug compounds is relevant. The article presents the developed Smart-technology for prediction based on modified algorithms of artificial immune systems. Smart-technology effectiveness assessment is carried out using the FMEA (Failure Mode and Effects Analysis) methodology in order to analyze the causes and consequences of defects. An FMEA model has been developed for assessing the risks of the functioning of Smart technology stages. As an example, there are considered medicinal compounds of the sulfanilamide group.

In various fields of science and applied research, Bayesian networks are a powerful tool for studying complex processes with causal probabilistic relationships. There is a need for software tools that provide implementation of models based on Bayesian network hardware. The software market quickly responded to this need. There are many excellent software products for working with Bayesian networks. The article discusses some issues related to working with Bayesian networks.